understand-onboard
Use when you need to generate an onboarding guide for new team members joining a project
Skill by Egonex-AI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documentation
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/understand-onboard
What's inside
- Skill name
understand-onboard- Description
- Use when you need to generate an onboarding guide for new team members joining a project
- License
- MIT
- Instructions
- 67 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# /understand-onboard
Generate a comprehensive onboarding guide from the project's knowledge graph.
## Graph Structure Reference
The knowledge graph JSON has this structure:
- `project` — {name, description, languages, frameworks, analyzedAt, gitCommitHash}
- `nodes[]` — each has {id, type, name, filePath?, summary, tags[], complexity, languageNotes?}
- Code node types: file, function, class, module, concept
- Non-code node types: config, document, service, table, endpoint, pipeline, schema, resource
- Domain/knowledge node types: domain, flow, step, article, entity, topic, claim, source
- IDs use the node type as prefix, e.g. `file:path`, `function:path:name`, `config:path`, `article:path`
- `edges[]` — each has {source, target, type, direction, weight}
- Key types: imports, contains, calls, depends_on, configures, documents, deploys, triggers, contains_flow, flow_step, related, cites
- `layers[]` — each has {id, name, description, nodeIds[]}
- `tour[]` — each has {order, title, description, nodeIds[]}
## How to Read Efficiently
1. Use Grep to search within the JSON for relevant entries BEFORE reading the full file
2. Only read sections you need — don't dump the entire graph into context
3. Node names and summaries are the most useful fields for understanding
4. Edges tell you how components connect — follow imports and calls for dependency chains
## Instructions
1. **Resolve the data directory `$UA_DIR`.** Run `UA_DIR=$([ -d .understand-anything ] && echo .understand-anything || echo .ua)` — this is the legacy `.understand-anything/` when it already exists, otherwise the new `.ua/`. Check that `$UA_DIR/knowledge-graph.json` exists. If not, tell the user to run `/understand` first.
2. **Check graph freshness before using graph-derived context**:
- Read `project.gitCommitHash` from the graph metadata as `GRAPH_COMMIT_RAW`. Resolve it as a commit before using it in any Git diff, then compare it with `git rev-parse HEAD` and inspect project-scoped committed and working-tree changes from the project root:
```bash
GRAPH_COMMIT=$(git rev-parse --verify --end-of-options "${GRAPH_COMMIT_RAW}^{commit}" 2>/dev/null)
git rev-parse HEAD
git diff --name-only "$GRAPH_COMMIT" HEAD -- .
git diff --cached --name-only -- .
git diff --name-only -- .
git ls-files --others --exclude-standard -- .
```
- The `-- .` pathspec is required: commits that only touch a sibling monorepo project must not make this graph stale. A hash mismatch alone is not stale when the project diff is empty.
- Ignore the selected data directory (`.ua/` or legacy `.understand-anything/`) in every command's output because it contains generated graph artifacts, not project source drift.
- If the committed diff or any working-tree command reports project files, warn before generating the guide that onboarding content may omit those changes. Suggest: Run `/understand` to refresh the graph.
- Run the commit diff only when `GRAPH_COMMIT_RAW` resolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
3. **Read project metadata** — use Grep or Read with a line limit to extract the `"project"` section (name, description, languages, frameworks).
4. **Read layers** — Grep for `"layers"` to get the full layers array. These define the architecture and will structure the guide.
5. **Read the tour** — Grep for `"tour"` to get the guided walkthrough steps. These provide the recommended learning path.
6. **Read file-level structural nodes only** — use Grep to find nodes with file-level types (`file`, `config`, `document`, `service`, `pipeline`, `table`, `schema`, `resource`, `endpoint`) in the knowledge graph. Skip function-level and class-level nodes to keep the guide high-level. Extract each node's `name`, `filePath`, `summary`, and `complexity`.
7. **Identify complexity hotspots** — from the file-level nodes, find those with the highest `complexity` values. These are areas new developers should approach carefully.
8. **Generate the onboarding guide** with these sections:
- **Project Overview**: name, languages, frameworks, description (from project metadata)
- **Architecture Layers**: each layer's name, description, and key files (from layers + file nodes)
- **Key Concepts**: important patterns and design decisions (from node summaries and tags)
- **Guided Tour**: step-by-step walkthrough (from the tour section)
- **File Map**: what each key file does (from file-level nodes, organized by layer)
- **Complexity Hotspots**: areas to approach carefully (from complexity values)
9. Format as clean markdown
10. Offer to save the guide to `docs/UA_ONBOARDING.md` in the project
11. Suggest the user commit it to the repo for the teamFrom Egonex-AI/Understand-Anything, MIT.
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CLAUDE.md · Egonex-AI/Understand-Anything
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Signals
- Stars
- 88,048
- Forks
- 7,430
- Open issues
- 124
- Last commit (this folder)
- Aug 11, 2026 (2 months ago)
- Last release
- Jul 10, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Egonex-AI/Understand-Anything
- Website
- understand-anything.com/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
understand-onboard skill. Agent Mart. https://agentmart.dev/skills/egonex-ai-understand-onboard (last updated 2026-10-24)